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Meet Our Early Stage Researchers: Chiara Perillo from University of Zurich
” I am very enthusiastic about the idea of combining Big Data techniques and econometric methods, and applying them to empirical finance” I come from Italy, specifically from Sardinia, a wonderful...
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Giorgio Mirone from Aarhus University
”Developing new tools to draw inference from high-frequency data and news is of extreme interest for the academia, while having several important applications for the financial industry” I moved from...
View ArticleSokos Hotel Ilves
Special rates for ”Data Science in Finance” training school participants at Hotel Ilves, book before July 22nd! Sokos Hotel Ilves Address: Hatanpäänvaltatie 1, 33100 Tampere Room rates – Standard...
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Data Science in Finance
Registration is now open for the first BigDataFinance training event, Data Science in Finance, which will take place at Tampere University of Technology 22 – 26 August 2016. Preliminary agenda,...
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High-Frequency Data Econometrics
Up-coming BigDataFinance training event: High-Frequency Data Econometrics Date: 26-29 September 2016 Location: Aarhus University Price: 0 DKK / 1000 DKK (see below) ECTS: 4 Click HERE for registration...
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Sergio Garcia Vega from The University of Manchester
”I applied to BigDataFinance project because the challenge of solving real-life problems, which involve high-dimensional datasets, have always been one of my primary research interests” I come from...
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Rytis Simanaitis from The University of Manchester
”I am very excited to participate in the BigData Finance project and to work on developing tools for market mood identification” Ever since I participated in a school organized stock market day in...
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Ioannis Anagnostou from ING Groep N.V.
”BigDataFinance brings together researchers from across the world with diverse academic and professional profiles, passionate about applying data-driven techniques to real problems of the financial...
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James Hodson from Jožef Stefan Institute
”I want to dive deeper into the mechanisms that drive information processing in financial markets, not just from a product-driven perspective, but through a holistic research agenda” As a researcher at...
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Miha Torkar from Jožef Stefan Institute
”BigDataFinance project is situated around a real world problem, I think I will have an ideal chance to make an impact and apply my knowledge in practice” I have always been interested in analysing...
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Elizabeth Fons from AllianceBernstein
”I was drawn by the project and the international environment of the network and I thought that my background in Physics and experience in data analysis were a very good fit” My name is Elizabeth and...
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ESR12: Vladimir Petrov from University of Zürich
Vladimir Petrov is based at University of Zurich 2016-2019, and his research project is High Frequency Trading Risk Management Tools Based on Scaling Law (WP4) ”The project can help me to understand...
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ESR8: Martin Magris from Tampere University of Technology
Martin Magris is based at Tampere University of Technology 2016-2019, and his research project is Order Books Dynamics and Announcement Effects during Financial Crisis (WP3) ”Being part of this project...
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ESR6: Ye Zeng from Aarhus University
Ye Zeng is based at Aarhus University 2016-2019, and his research project is Modelling and Forecasting the Joint Distribution of Asset Returns with News (WP3) ” I am looking forward to becoming not...
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Winter School on Complex Financial Networks
The next BigDataFinance training event, ”Winter School on Complex networks in finance”, will be organised Monday 9th –Friday 13th January 2017 at University of Zürich – more information coming soon!...
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POST DOC CALL 2017 AT TAMPERE UNIVERSITY OF TECHNOLOGY
Tampere University of Technology (TUT) is seeking to hire promising post doc researchers who are in the beginning of their careers. The aim is to support highly qualified postdoctoral researchers who...
View ArticleBigDataFinance conference
The BigDataFinance conference will be organized Wednesday 4th – Thursday 5th of October 2017 in London. More information will follow soon! Artikkeli BigDataFinance conference julkaistiin ensimmäisen...
View ArticleBlog introduction
People in modern societies are leaving behind a vast amount of data that can be analysed and exploited in new and unprecedented ways to understand and model financial markets for better risk...
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An introduction to BigData in Finance: the econometric point of view
Ultra-high-frequency data are probably the perfect representative for the financial markets of the advent of BigData. It is well known that over the last decade the availability of high-frequency data...
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Complex Networks in Financial Markets
In most natural and engineered systems, a set of entities interact with each other in complicated patterns that can involve multiple types of relationships, change in time and include multiple layers...
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